Immediately, we’re introducing Gemini 3.1 Flash-Lite, our quickest and most cost-efficient Gemini 3 sequence mannequin. Constructed for high-volume developer workloads at scale, 3.1 Flash-Lite delivers prime quality for its worth and mannequin tier.<\/p>\n

Beginning at present, 3.1 Flash-Lite is rolling out in preview to builders by way of the Gemini API in Google AI Studio<\/a> and for enterprises by way of Vertex AI<\/a>.<\/p>\n

Value-efficiency with out compromise<\/h2>\n
Priced at simply $0.25\/1M enter tokens and $1.50\/1M output tokens, 3.1 Flash-Lite delivers enhanced efficiency at a fraction of the price of bigger fashions. It outperforms 2.5 Flash with a 2.5X sooner Time to First Reply Token and 45% improve in output velocity, in keeping with the Synthetic Evaluation benchmark<\/a> whereas sustaining related or higher high quality. This low latency is required for high-frequency workflows, making it a super mannequin for builders to construct responsive, real-time experiences.<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"
Immediately, we’re introducing Gemini 3.1 Flash-Lite, our quickest and most cost-efficient Gemini 3 sequence mannequin. Constructed for high-volume developer workloads at scale, 3.1 Flash-Lite delivers prime quality for its worth and mannequin tier. Beginning at present, 3.1 Flash-Lite is rolling out in preview to builders by way of the Gemini API in Google AI Studio […]<\/p>\n","protected":false},"author":2,"featured_media":12373,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[903,358],"class_list":["post-12371","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-costeffective","tag-model"],"_links":{"self":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/12371","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=12371"}],"version-history":[{"count":1,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/12371\/revisions"}],"predecessor-version":[{"id":12372,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/12371\/revisions\/12372"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/media\/12373"}],"wp:attachment":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12371"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12371"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12371"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}